← Application Areas
Machine Learning › Application Areas ›

Privacy

2794 directly classified papers

Papers per year

Papers

Model Inversion Robustness: Can Transfer Learning Help? CVPR 2024
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation NIPS 2024
Universally Instance-Optimal Mechanisms for Private Statistical Estimation COLT 2024
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models EMNLP 2024
Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? COLT 2024
Rethinking Evaluation Methods for Machine Unlearning EMNLP 2024
Is It Safe to Tell Your Story? Towards Achieving Privacy for Sensitive Narratives EMNLP 2024
Private Language Models via Truncated Laplacian Mechanism EMNLP 2024
Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion EMNLP 2024
Selling Personal Information: Data Brokers and the Limits of US Regulation COLING 2024
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients EMNLP 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks NIPS 2024
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature NIPS 2024
A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024
Validating Privacy-Preserving Face Recognition under a Minimum Assumption CVPR 2024
Anonymization Through Substitution: Words vs Sentences ACL 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024
PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding ACL 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework AAAI 2024
Differentially Private Optimization with Sparse Gradients NIPS 2024
Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration ACL 2024
Quantifying Unintended Memorization in BEST-RQ ASR Encoders INTERSPEECH 2024
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024
Automated Anonymization of Parole Hearing Transcripts EMNLP 2024
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization NIPS 2024